Main Преимущества
Main advantages of the platform
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Setting up processes for gathering data from distributed organizational structures and aligning them

Solving the tasks of several company divisions within a single platform

Browser-based operation without the need to install any additional software

Data and structure versioning; flexible indicator storage system

Customizing the platform
without additional programming

High performance and scalability of the solutions

Hypothesis testing
and causality detection by means of multivariate data analysis

The system has a three-tier architecture (web client, application server, DBMS). The platform is characterized by a separate in-memory DB developed in-house.
The application server is written in Python. The client part is based on JavaScript. The interface is optimized for mobile devices. Web analytics dashboards can be packaged into a solution for any mobile OS.

Use advanced tech
Custom
Interactive presentations
in your corporate style
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The basic toolkit allows users to create presentations with real-time reporting and any level of data drill-down during the demonstration.
Rapid multi-dimensional
indicator analysis
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The platform supports multi-dimensional indicator analysis via OLAP reports without the need for prebuilding cubes.
Information auditability
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The platform supports full versioning (data and metadata changes, calculation and aggregation). Retrospection makes it possible to view system objects as they were in any moment in the past.
Functional
Calculations with regard
to changing indicators
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The system performs calculations based on the indicators using predefined formulas. The calculations account for the adjustments to the indicators made manually by users.
Cross-platform
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The system is implemented as a scalable web application. Users can access all the functions and resources of the system through a web interface.
Repetitive data
input avoiding
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Entered once, the indicator value is displayed across all data entry and display forms where the indicator is present.
Artificial Intelligence
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Methods to detect and prevent atypical changes in the data are being developed.
Technical
Open-source
software used
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The use of open-source software provides for high availability and reliability of the system and low cost of ownership.
Network
data model
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Flexible data storage model based on mathematical theory of directed graphs allows for performing complex calculations, rolling back to the original values of the indicators and quick building of OLAP reports.
Configure solutions
without additional programming
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The platform is a set of designers. Directories, subject area, data integration, dashboards, forms, and reports are created in the platform's designers by generating new objects and defining their parameters.
Distributed
data storage
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The system can be deployed both in a centralized and distributed configuration.
Flexible data structure
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Data are stored as an array of indicator values with an unlimited number of analytical attributes. It is possible to select indicators with value types "directory", "hierarchical directory" and "period" as analytical attributes.
Integration
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The platform uses XML API to exchange data with external systems via REST technology, as well as web services for data import/export via SOAP protocol. Working with BigData.
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Check out the benefits of the platform
Get access to training materials, cloud service and support to create new business solutions
Try it for free
Ready-to-use connectors for fast hookup to systems
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Triafly in numbers
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+ billion
records used in dynamic OLAP reports without prebuilding OLAP cubes, using in-memory technology
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+ million
records contained in 10 GB of RAM
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days
minimal lead time for prompt customization of the solution, all stages included
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%
Russian product
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Federal Service for Technical and Export Control of Russia
The platform has been certified by the Federal Service for Technical and Export Control and is included on the Unified Register of Russian Software for Electronic Computers and Databases.
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